public void TestNetwork(MNistImage[] images, CancellationToken cancellation) { Debug.AssertNotNull(images); Debug.AssertNotNull(cancellation); if (_statRefresher != null && _statRefresher.Started) return; _cancelTrainToken = cancellation; var normalImages = new NormalizedImage[images.Length]; for (var i = 0; i < images.Length; i++) { normalImages[i] = new NormalizedImage(images[i]); normalImages[i].PadCanvas(Network.InputImageWidth, Network.InputImageHeight); } _testInfoBuffer.Clear(); _imageProcessed = 0; _errors.Clear(); _totalMSE = 0.0; _statRefresher = new ActionRepeater(PrintTestingInfo, 1000.0); _statRefresher.Start(false); TestProcess(normalImages); _statRefresher.Stop(true); History = txtStatistics.Text; }
public void TrainNetwork(MNistImage[] images, CancellationToken cancellation) { Debug.AssertNotNull(images); Debug.Assert(cancellation != null); if (_statRefresher != null && _statRefresher.Started) return; _cancelTrainToken = cancellation; var normalImages = new NormalizedImage[images.Length]; for (var i = 0; i < images.Length; i++) normalImages[i] = new NormalizedImage(images[i]); _statRefresher = new ActionRepeater(PrintTrainingInfo, 1000.0); _statRefresher.Start(false); TrainProcess(normalImages); _statRefresher.Stop(true); History = txtStatistics.Text; }